Context-Aware Content Presentation for Location-Based Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional information processing systems face challenges in maintaining user acceptability as users may struggle to understand the relevance of content provided based on their location, leading to decreased acceptance.
Innovation Solution
An information processing system that includes a position acquisition unit, context information acquisition unit, and content presentation control unit, which controls content presentation based on the easiness of recognition of features at the user's location, ensuring that content is only presented when the user can easily recognize and identify the relevant features, thereby enhancing user understanding and acceptance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content is provided based on user location without considering recognition conditions, then content distribution efficiency is improved, but user acceptability decreases
Solution Approach 1:
The system changes the parameters for content distribution by introducing recognition condition parameters (visibility, identification ease) as prerequisites for content provision. This resolves the contradiction by ensuring content is only distributed when both efficiency and acceptability conditions are met, rather than distributing content solely based on location data.
2Device complexity
If content is presented without verifying feature recognition, then system complexity is reduced, but user understanding deteriorates
Solution Approach 1:
The system performs preliminary verification of recognition conditions (visibility and identification ease) before presenting content to the user. This preliminary action ensures that users can actually recognize the features related to the content, preventing information loss and maintaining user understanding without requiring complex real-time monitoring systems.
3Loss of time
If content is provided without assessing recognition ease, then processing time is reduced, but content relevance deteriorates
Solution Approach 1:
The system implements a partial verification approach by assessing only two key recognition conditions (visibility and identification ease) rather than comprehensively evaluating all possible recognition factors. This partial action maintains relatively fast processing time while significantly improving content relevance assurance compared to no verification at all.
Data Source
AI summary
An information processing system includes a position acquisition unit that acquires the position of a user, a context information acquisition unit that acquires context information corresponding to the position, and a content presentation control unit that controls presentation of a content based on the context information. The context information includes information on easiness of recognition of a feature at the position, the feature relating to the content, and the content presentation control unit controls the presentation of the content based on the easiness of recognition of the feature at the position.


